The general form of Bayes' theorem (sometimes called Bayes' rule) is:
p(A|X) =-p(X X p( A)-, p(X|A) X p( A) + p(X|~A) X p(~A)
where p(A) is the prior (our prior knowledge, for example, of the prevalence of cancer in the population as a whole);
p(A|X) is the posterior probability (a revised estimate of the probability of A, given X, in our example, of there being cancer, given that the test result was positive);
p(X|A) is the conditional probability of X, given A (in our example, of a positive test when a patient has cancer);
p(X|~A) is the conditional probability of X, given not-A (in our example, of a positive test when a patient does not have cancer).
Same as Bayes'rule. See BayesianMethod.
Bayesian Method 27
Was this article helpful?
Learning About 10 Ways Fight Off Cancer Can Have Amazing Benefits For Your Life The Best Tips On How To Keep This Killer At Bay Discovering that you or a loved one has cancer can be utterly terrifying. All the same, once you comprehend the causes of cancer and learn how to reverse those causes, you or your loved one may have more than a fighting chance of beating out cancer.